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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 05 Feb 2013 07:26:52 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/05/t1360067261pdegmmuj9j1p91i.htm/, Retrieved Sat, 04 May 2024 08:07:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206046, Retrieved Sat, 04 May 2024 08:07:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataseries X:
-5.3
-7.1
-8
-8.9
-7.7
-1.1
4
9.6
10.9
13
14.9
20.1
10.8
11
3.8
10.8
7.6
10.2
2.2
-0.1
-1.7
-4.8
-9.9
-13.5
-18.1
-18
-15.7
-15.2
-15.1
-17.9
-14.5
-9.4
-4.2
-2.2
4.5
12.4
15.8
11.5
14.1
18.8
26.1
27.9
25.4
23.4
11.5
9.9
8.1
12.6
8.2
5.4
1
-2.9
-3.7
-7
-7.2
-11.8
-2.1
1.2
2.5
4.8
-6.6
-16
-22.7
-17.7
-18.2
-18.9
-16
-12.2
-17.1
-18.6
-17.5
-24.9
-14




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206046&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206046&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206046&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-25,-20[-22.520.0273970.0273970.005479
[-20,-15[-17.5140.1917810.2191780.038356
[-15,-10[-12.550.0684930.2876710.013699
[-10,-5[-7.5100.1369860.4246580.027397
[-5,0[-2.590.1232880.5479450.024658
[0,5[2.580.1095890.6575340.021918
[5,10[7.560.0821920.7397260.016438
[10,15[12.5120.1643840.904110.032877
[15,20[17.520.0273970.9315070.005479
[20,25[22.520.0273970.9589040.005479
[25,30]27.530.04109610.008219

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-25,-20[ & -22.5 & 2 & 0.027397 & 0.027397 & 0.005479 \tabularnewline
[-20,-15[ & -17.5 & 14 & 0.191781 & 0.219178 & 0.038356 \tabularnewline
[-15,-10[ & -12.5 & 5 & 0.068493 & 0.287671 & 0.013699 \tabularnewline
[-10,-5[ & -7.5 & 10 & 0.136986 & 0.424658 & 0.027397 \tabularnewline
[-5,0[ & -2.5 & 9 & 0.123288 & 0.547945 & 0.024658 \tabularnewline
[0,5[ & 2.5 & 8 & 0.109589 & 0.657534 & 0.021918 \tabularnewline
[5,10[ & 7.5 & 6 & 0.082192 & 0.739726 & 0.016438 \tabularnewline
[10,15[ & 12.5 & 12 & 0.164384 & 0.90411 & 0.032877 \tabularnewline
[15,20[ & 17.5 & 2 & 0.027397 & 0.931507 & 0.005479 \tabularnewline
[20,25[ & 22.5 & 2 & 0.027397 & 0.958904 & 0.005479 \tabularnewline
[25,30] & 27.5 & 3 & 0.041096 & 1 & 0.008219 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206046&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][-25,-20[[/C][C]-22.5[/C][C]2[/C][C]0.027397[/C][C]0.027397[/C][C]0.005479[/C][/ROW]
[ROW][C][-20,-15[[/C][C]-17.5[/C][C]14[/C][C]0.191781[/C][C]0.219178[/C][C]0.038356[/C][/ROW]
[ROW][C][-15,-10[[/C][C]-12.5[/C][C]5[/C][C]0.068493[/C][C]0.287671[/C][C]0.013699[/C][/ROW]
[ROW][C][-10,-5[[/C][C]-7.5[/C][C]10[/C][C]0.136986[/C][C]0.424658[/C][C]0.027397[/C][/ROW]
[ROW][C][-5,0[[/C][C]-2.5[/C][C]9[/C][C]0.123288[/C][C]0.547945[/C][C]0.024658[/C][/ROW]
[ROW][C][0,5[[/C][C]2.5[/C][C]8[/C][C]0.109589[/C][C]0.657534[/C][C]0.021918[/C][/ROW]
[ROW][C][5,10[[/C][C]7.5[/C][C]6[/C][C]0.082192[/C][C]0.739726[/C][C]0.016438[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]12[/C][C]0.164384[/C][C]0.90411[/C][C]0.032877[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]2[/C][C]0.027397[/C][C]0.931507[/C][C]0.005479[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]2[/C][C]0.027397[/C][C]0.958904[/C][C]0.005479[/C][/ROW]
[ROW][C][25,30][/C][C]27.5[/C][C]3[/C][C]0.041096[/C][C]1[/C][C]0.008219[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206046&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206046&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-25,-20[-22.520.0273970.0273970.005479
[-20,-15[-17.5140.1917810.2191780.038356
[-15,-10[-12.550.0684930.2876710.013699
[-10,-5[-7.5100.1369860.4246580.027397
[-5,0[-2.590.1232880.5479450.024658
[0,5[2.580.1095890.6575340.021918
[5,10[7.560.0821920.7397260.016438
[10,15[12.5120.1643840.904110.032877
[15,20[17.520.0273970.9315070.005479
[20,25[22.520.0273970.9589040.005479
[25,30]27.530.04109610.008219



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}